PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-08-10 10:22:30.803898+00:00 (UTC)
In US/Central Time, this is 2024-08-10 05:22:30.803898-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/fd9e1f73ea6670cfb6b5f04319a433831255b1e824a3d5f286b3d5f9324cf16a.png
We are just generating a random time serie here.
../../_images/3c726e12c17971d2e203a1020e3f07e68e7fb9c7c595bd756ed738e802439b8f.png
../../_images/140d2459247e6d3ed99ff231c644fd279ca4c2d4007902e7f95f3205f51f1d1b.png